نتایج جستجو برای: landsat satellite

تعداد نتایج: 86824  

2016
Evan B. Brooks John W. Coulston Randolph H. Wynne Virginia Tech Valerie A. Thomas

Article history: Received 22 August 2014 Received in revised form 29 February 2016 Accepted 10 March 2016 Available online 8 April 2016 The use of satellite-derived classification maps to improve post-stratified forest parameter estimates is well established.When reducing the variance of post-stratification estimates for forest change parameters such as forest growth, it is logical to use a cha...

Journal: :Remote Sensing 2011
Joshua J. Picotte Kevin Robertson

Remote sensing using Landsat Thematic Mapper (TM) satellite imagery is increasingly used for mapping wildland fire burned area and burn severity, owing to its frequency of collection, relatively high resolution, and availability free of charge. However, rapid response of vegetation following fire and frequent cloud cover pose challenges to this approach in the southeastern US. We assessed these...

2017
Rosa Lasaponara Beniamino Murgante Abdelaziz Elfadaly Mohamad Molaei Qelichi Saeed Zanganeh Shahraki Osama Wafa Wael Attia

Instrumental to the concept of sustainability must be the search for feasible ways to implement sustainability, especially connecting heritage and tourism. This should be understood in relationship with the persistence in time and the current and future conception of the human-made environment. This study deals with the spatial characterization over time of the urban sprawl close to and around ...

Journal: :Remote Sensing 2013
Sina Muster Birgit Heim Anna Abnizova Julia Boike

Water bodies are ubiquitous features in Arctic wetlands. Ponds, i.e., waters with a surface area smaller than 10 m, have been recognized as hotspots of biological activity and greenhouse gas emissions but are not well inventoried. This study aimed to identify common characteristics of three Arctic wetlands including water body size and abundance for different spatial resolutions, and the potent...

Journal: :Remote Sensing 2016
Jean-Pierre Dedieu Bradley Z. Carlson Sylvain Bigot Pascal Sirguey Vincent Vionnet Philippe Choler

We investigated snow cover dynamics using time series of moderate (MODIS) to high (SPOT-4/5, Landsat-8) spatial resolution satellite imagery in a 3700 km2 region of the southwestern French Alps. Our study was carried out in the context of the SPOT (Take 5) Experiment initiated by the Centre National d’Etudes Spatiales (CNES), with the aim of exploring the utility of high spatial and temporal re...

Journal: :Journal of Agricultural Science and Technology 2023

Improving Soil Texture Digital Mapping Using Landsat 8 Satellite Imageries in Calcareous Soils of Southern Iran

Journal: :Remote Sensing 2015
Kotaro Iizuka Ryutaro Tateishi

This study estimates CO2 sequestration by forests in Japan using Land Remote Sensing Satellite (Landsat) Operational Land Imager (OLI) and the Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) remote sensing data for the in-depth retrieval of forest growth stages (tree age). Landsat imagery was used to develop a detailed forest cover map, while the P...

1996
Theo E. Schouten

An accurate crop area estimation method based on satellite remote sensing imagery is needed to manage the agricultural subsidy system of the European Union. The area estima-tor can use either classiication, which allocates a pixel to a single class, or decomposition, which divides a pixel between several classes, to determine the ground cover type(s) a pixel is composed of. While in early days ...

1999
Fiona Evans

We describe a project that is monitoring land condition in the south west of Western Australia using Landsat Thematric Mapper satellite images and terrain data derived from digital elevation models (DEMs). Land Monitor is a multi-agency project of the Western Australian Salinity Action Plan supported by the Natural Heritage Trust. The focus of the project is on broad-scale monitoring of land co...

Journal: :Remote Sensing 2014
Sean A. Parks Gregory K. Dillon Carol Miller

Satellite-inferred burn severity data have become increasingly popular over the last decade for management and research purposes. These data typically quantify spectral change between pre-and post-fire satellite images (usually Landsat). There is an active debate regarding which of the two main equations, the delta normalized burn ratio (dNBR) and its relativized form (RdNBR), is most suitable ...

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